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Batch effect removal methods for microarray gene expression data integration: a survey.

C. Lazar, S. Meganck, J. Taminau, D. Steenhoff, A. Coletta, C. Molter, D. Solís, R. Duque, H. Bersini, and A. Nowé. Briefings in Bioinformatics, 14 (4): 469-490 (2013)

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Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.J. Taminau, S. Meganck, C. Lazar, D. Steenhoff, A. Coletta, C. Molter, R. Duque, V. de Schaetzen, D. Solís, H. Bersini and 1 other author(s). BMC Bioinformatics, (2012)The PRINTS database: a fine-grained protein sequence annotation and analysis resource - its status in 2012.T. Attwood, A. Coletta, G. Muirhead, A. Pavlopoulou, P. Philippou, I. Popov, C. Romá-Mateo, A. Theodosiou, and A. Mitchell. Database, (2012)Low-complexity regions within protein sequences have position-dependent roles.A. Coletta, J. Pinney, D. Solís, J. Marsh, S. Pettifer, and T. Attwood. BMC Systems Biology, (2010)Sequential Application of Feature Selection and Extraction for Predicting Breast Cancer Aggressiveness.J. Taminau, S. Meganck, C. Lazar, D. Solís, A. Coletta, N. Walker, H. Bersini, and A. Nowé. CSBio, volume 115 of Communications in Computer and Information Science, page 46-57. Springer, (2010)Batch effect removal methods for microarray gene expression data integration: a survey.C. Lazar, S. Meganck, J. Taminau, D. Steenhoff, A. Coletta, C. Molter, D. Solís, R. Duque, H. Bersini, and A. Nowé. Briefings in Bioinformatics, 14 (4): 469-490 (2013)inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO.J. Taminau, D. Steenhoff, A. Coletta, S. Meganck, C. Lazar, V. de Schaetzen, R. Duque, C. Molter, H. Bersini, A. Nowé and 1 other author(s). Bioinformatics, 27 (22): 3204-3205 (2011)A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis.C. Lazar, J. Taminau, S. Meganck, D. Steenhoff, A. Coletta, C. Molter, V. de Schaetzen, R. Duque, H. Bersini, and A. Nowé. IEEE/ACM Trans. Comput. Biology Bioinform., 9 (4): 1106-1119 (2012)GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes.C. Lazar, J. Taminau, S. Meganck, D. Steenhoff, A. Coletta, D. Solís, C. Molter, R. Duque, H. Bersini, and A. Nowé. IEEE/ACM Trans. Comput. Biology Bioinform., 10 (2): 383-392 (2013)myGrid and UTOPIA: An Integrated Approach to Enacting and Visualising in Silico Experiments in the Life Sciences.S. Pettifer, K. Wolstencroft, P. Alper, T. Attwood, A. Coletta, C. Goble, P. Li, P. McDermott, J. Marsh, T. Oinn and 2 other author(s). DILS, volume 4544 of Lecture Notes in Computer Science, page 59-70. Springer, (2007)

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Batch effect removal methods for microarray gene expression data integration: a survey.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Batch effect removal methods for microarray gene expression data integration: a survey.

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Batch effect removal methods for microarray gene expression data integration: a survey.